Orthogonal matching pursuit (OMP) is one of the mainstream algorithms for signal reconstruction/approximation. It plays a vital role in the development of compressed sensing theory, and it also acts as a driving force for the development of other heuristic methods for signal reconstruction. In this paper, we propose the so-called dynamic orthogonal matching pursuit (DOMP) and its two enhanc
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